Abstract
News consumption is deeply and widely situated in families. Employing role theory as theoretical framework, this study argues that users’ familial role would influence their mobile news consumption behavior through shaping their personal news interests and regulating their time budget of news viewing. We extracted data from the server log of the Sohu News mobile application, one of the most popular mobile news applications in China. We found that users with different familial roles demonstrate various sequential patterns of news consumption, as represented by various sequence length and turbulence. This study expands the theoretical horizons by integrating the traditional role theory and big user data analytics to address the mobile news consumption in China.
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